Dear colleagues
>
> in conducting a meta-analysis (of MRI data) I am running into the repeated
> issue:
>
> Error: Assigned data `single_study_df` must be compatible with existing data.
> ℹ Error occurred for column `accumbens_sd`. x Can't convert from <double> to
> <logical> due to loss of precision. * Locations: 1, 2. Run
> `rlang::last_error()` to see where the error occurred.
>
> This follows the commands
>
> for (region in regions){
> for (study in unique(df$studyid)){
> single_study_df <- df %>% filter(studyid==study)
> if (is.na(single_study_df[sprintf('%s_mn', region)][[1]]) &
> !is.na(single_study_df[sprintf('%s_mn_l', region)])){
> df <- calc_bilat(study, region, r, df)
> }
> }
> }
>
>
> My colleague (cc'd) believed it may be an issue with tidyverse version,
> however using an older version (1.2.1), the issue persists. note 'accumbens'
> is the first of many columns so I suspect this is why it flags this up.
>
> I would greatly value your input on this matter
>
> Kind regards
>
> John Tully
>
>
>
>
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